Analytics and machine learning in scheduling and routing research

Ruibin Bai; Zhi Long Chen; Graham Kendall

doi:10.1080/00207543.2022.2131930

Analytics and machine learning in scheduling and routing research

Ruibin Bai^*
, Zhi Long Chen
, Graham Kendall

^*Corresponding author for this work

School of Computer Science

Research output: Journal Publication › Editorial

5 Citations (Scopus)

Original language	English
Pages (from-to)	1-3
Number of pages	3
Journal	International Journal of Production Research
Volume	61
Issue number	1
DOIs	https://doi.org/10.1080/00207543.2022.2131930
Publication status	Published - 2023

ASJC Scopus subject areas

Strategy and Management
Management Science and Operations Research
Industrial and Manufacturing Engineering

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10.1080/00207543.2022.2131930

Cite this

@article{f319b6dfb1fd46259748a1a3e9c0346a,

title = "Analytics and machine learning in scheduling and routing research",

author = "Ruibin Bai and Chen, \{Zhi Long\} and Graham Kendall",

year = "2023",

doi = "10.1080/00207543.2022.2131930",

language = "English",

volume = "61",

pages = "1--3",

journal = "International Journal of Production Research",

issn = "0020-7543",

publisher = "Taylor and Francis Ltd.",

number = "1",

}

TY - JOUR

T1 - Analytics and machine learning in scheduling and routing research

AU - Bai, Ruibin

AU - Chen, Zhi Long

AU - Kendall, Graham

PY - 2023

Y1 - 2023

UR - https://www.scopus.com/pages/publications/85145474128

U2 - 10.1080/00207543.2022.2131930

DO - 10.1080/00207543.2022.2131930

M3 - Editorial

AN - SCOPUS:85145474128

SN - 0020-7543

VL - 61

SP - 1

EP - 3

JO - International Journal of Production Research

JF - International Journal of Production Research

IS - 1

ER -

Analytics and machine learning in scheduling and routing research

ASJC Scopus subject areas

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